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Adaptive artificial neural network for uncertainty propagation
Papers | 更新时间:2025-08-22
    • Adaptive artificial neural network for uncertainty propagation

    • 不确定性传播的自适应人工神经网络
    • In the field of uncertainty propagation, this study introduces its research progress. Expert proposed a novel adaptive UP method based on the artificial neural network (ANN), which provides solutions to solve the problem of accurate and efficient UP in engineering applications.
    • Journal of Reliability Science and Engineering   Vol. 1, Issue 1, Pages: 50-79(2025)
    • 作者机构:

      Institute for Risk and Reliability, Leibniz Universität Hannover, Hannover 30167, Germany

      School of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an 710072, People's Republic of China

      Department of Civil and Environmental Engineering, University of Liverpool, Liverpool L69 3BX, United Kingdom

      International Joint Research Center for Resilient Infrastructure & International Joint Research Center for Engineering Reliability and Stochastic Mechanics, Tongji University, Shanghai 200092, People's Republic of China

    • DOI:10.1088/3050-2454/ada036    

      CLC:
    • Received:17 October 2024

      Revised:2024-11-24

      Accepted:09 December 2024

      Published Online:20 January 2025

      Published:2025-03

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  • Yan Shi, Lizhi Niu and Michael Beer. 不确定性传播的自适应人工神经网络[J]. 可靠性科学与工程学报(英文), 2025, 1: 015002. DOI: 10.1088/3050-2454/ada036.

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